National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Autism (1)
- Children/Adolescents (4)
- Chronic Conditions (1)
- Clinical Decision Support (CDS) (3)
- Clinician-Patient Communication (1)
- Communication (1)
- Consumer Assessment of Healthcare Providers and Systems (CAHPS) (1)
- (-) Decision Making (6)
- Electronic Health Records (EHRs) (2)
- Emergency Department (1)
- Healthcare Delivery (1)
- Health Information Technology (HIT) (3)
- Patient-Centered Healthcare (1)
- (-) Primary Care (6)
- Primary Care: Models of Care (1)
- Public Reporting (1)
- Quality of Care (1)
- Screening (1)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 6 of 6 Research Studies DisplayedDowns SM, Bauer NS, Saha C
Effect of a computer-based decision support intervention on autism spectrum disorder screening in pediatric primary care clinics: a cluster randomized clinical trial.
This study examined outcomes for implementation of a decision support system called CHICA (Child Health Improvement Through Computer Automation) to improve screening rates for autism in children aged 18 to 24 months. A random sample of 274 children in four urban clinics was used. Two clinics participated in the intervention, and two served as controls. Because participating clinics requested intervention be discontinued for children aged 18 months, only results for those aged 24 months was analyzed. Of the 263 children with reviewed results, 92% were enrolled in Medicaid, 52.5% were African American, and 36.5% were Hispanic. Screening rates increased from 0% at baseline to 100% in 24 months during the study period of November 2010 to November 2012. Screening results were positive for 265 of 980 children screened by CHICA in the time period, with 2 children from the intervention group positively diagnosed in the time frame of the study.
AHRQ-funded; HS018453.
Citation: Downs SM, Bauer NS, Saha C .
Effect of a computer-based decision support intervention on autism spectrum disorder screening in pediatric primary care clinics: a cluster randomized clinical trial.
JAMA Netw Open 2019 Dec 2;2(12):e1917676. doi: 10.1001/jamanetworkopen.2019.17676..
Keywords: Autism, Clinical Decision Support (CDS), Decision Making, Health Information Technology (HIT), Primary Care, Children/Adolescents, Screening
Vogel JA, Rising KL, Jones J
Reasons patients choose the emergency department over primary care: a qualitative metasynthesis.
To enhance the acute care delivery system, a comprehensive understanding of the patient's perspectives for seeking care in the emergency department (ED) versus primary care (PC) is necessary. In this study, the investigators conducted a qualitative metasynthesis on reasons patients sought care in the ED instead of PC. The investigators concluded that reasons included: (1) urgency of the medical condition, (2) barriers to accessing primary care, (3) advantages of the ED, and (4) fulfillment of medical needs and quality of care in the ED.
AHRQ-funded; HS023901.
Citation: Vogel JA, Rising KL, Jones J .
Reasons patients choose the emergency department over primary care: a qualitative metasynthesis.
J Gen Intern Med 2019 Nov;34(11):2610-19. doi: 10.1007/s11606-019-05128-x..
Keywords: Emergency Department, Primary Care, Decision Making, Healthcare Delivery
Ronis SD, Kleinman LC, Stange KC
A learning loop model of collaborative decision-making in chronic illness.
In this article, the authors discuss their learning loop model, which posits the relationship between pediatric patients, their parents, and their clinicians as central to the collaborative decision-making process in the setting of chronic illness. The model incorporates the evolution of both context and developmental capacity over time. It suggests that "meta-learning" from the experience of and outcomes from iterative decision is a key factor that may influence relationships and thus continued engagement in collaboration by patients, their parents, and their clinicians.
AHRQ-funded; HS024433.
Citation: Ronis SD, Kleinman LC, Stange KC .
A learning loop model of collaborative decision-making in chronic illness.
Acad Pediatr 2019 Jul;19(5):497-503. doi: 10.1016/j.acap.2019.04.006..
Keywords: Children/Adolescents, Chronic Conditions, Decision Making, Patient-Centered Healthcare, Primary Care: Models of Care, Primary Care, Clinician-Patient Communication, Communication
Schlesinger M, Kanouse DE, Martino SC
Complexity, public reporting, and choice of doctors: a look inside the blackest box of consumer behavior.
The authors identified four pathways through which complexity may impair consumer choice. They examined these pathways using data from an experiment in which consumers hypothetically selected a primary care physician. They found that some of the loss of decision quality accompanying more complex choice sets can be explained by consumers' skills and decision-making style, but even after accounting for these factors, complexity undermines the quality of decision making in ways that cannot be fully explained. They concluded by discussing implications for report designers, sponsors, and policy makers aspiring to promote consumer empowerment and health care quality.
AHRQ-funded; HS016978; HS016980.
Citation: Schlesinger M, Kanouse DE, Martino SC .
Complexity, public reporting, and choice of doctors: a look inside the blackest box of consumer behavior.
Med Care Res Rev 2014 Oct;71(5 Suppl):38s-64s. doi: 10.1177/1077558713496321.
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Keywords: Consumer Assessment of Healthcare Providers and Systems (CAHPS), Decision Making, Quality of Care, Primary Care, Public Reporting
Bauer NS, Carroll AE, Downs SM
Understanding the acceptability of a computer decision support system in pediatric primary care.
In this study, the investigators examine the attitudes and opinions of pediatric users' toward the Child Health Improvement through Computer Automation (CHICA) system, a computer decision support system linked to an electronic health record in four community pediatric clinics. The investigators found that pediatric users appreciated the system's automation and enhancements that allowed relevant and meaningful clinical data to be accessible at point of care.
AHRQ-funded; HS018453; HS017939.
Citation: Bauer NS, Carroll AE, Downs SM .
Understanding the acceptability of a computer decision support system in pediatric primary care.
J Am Med Inform Assoc 2014 Jan-Feb;21(1):146-53. doi: 10.1136/amiajnl-2013-001851..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care
Bauer NS, Carroll AE, Downs SM
Understanding the acceptability of a computer decision support system in pediatric primary care.
In this study, the investigators examine the attitudes and opinions of pediatric users' toward the Child Health Improvement through Computer Automation (CHICA) system, a computer decision support system linked to an electronic health record in four community pediatric clinics. The investigators found that pediatric users appreciated the system's automation and enhancements that allowed relevant and meaningful clinical data to be accessible at point of care.
AHRQ-funded; HS018453; HS017939.
Citation: Bauer NS, Carroll AE, Downs SM .
Understanding the acceptability of a computer decision support system in pediatric primary care.
J Am Med Inform Assoc 2014 Jan-Feb;21(1):146-53. doi: 10.1136/amiajnl-2013-001851..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care